Forensic Sci., Volume 5, Issue 3 (September 2025) – 8 articles

Background: Positive identification is at the forefront of tasks for forensic practitioners when a set of remains is discovered. Standard means of identification include fingerprints, dental, and DNA analyses; however, additional methods are utilized by forensic practitioners to identify remains when these primary methods of identification are not applicable. Comparative radiography has become a frequently employed approach for positive identification, specifically focused on individualizing characteristics evident in human skeletal variation. Regions that display wide ranges of morphological variation within the human skeleton include the cranium as well as the thorax. With regard to the cranium specifically, paranasal sinuses have been recognized as unique features and are valuable for identification purposes. Objectives: This paper explores the basic information of the anatomy and development, range of variation, and the importance of paranasal sinuses in forensic contexts. Results: This article discusses how practitioners can best use the morphological information contained in the paranasal sinuses and how to compare the antemortem and postmortem datasets involving different imaging modalities for positive identification purposes, in order to provide practical concepts that may assist in cases where paranasal sinuses may be used for forensic human identification. Conclusions: Understanding the development of paranasal sinuses, the imaging techniques applied for their visualization, as well as the principles of identification, is key to conducting proper antemortem vs. postmortem comparisons and effectively utilizing paranasal sinuses in forensic identification contexts. Full article

This case report presents a multidisciplinary forensic investigation into a cold case involving a missing person in Italy, likely linked to a homicide that occurred in 2008. The investigation applied a standardized protocol integrating satellite imagery analysis, site reconnaissance, vegetation clearance, ground-penetrating radar (GPR), and cadaver dog (K9) deployment. A dedicated decision tree guided each phase, allowing for efficient allocation of resources and minimizing investigative delays. Although no human remains were recovered, the case demonstrates the practical utility and operational robustness of a structured, evidence-based model that supports decision-making even in the absence of positive findings. The approach highlights the relevance of “negative” results, which, when derived through scientifically validated procedures, offer substantial value by excluding burial scenarios with a high degree of reliability. This case is particularly significant in the Italian forensic context, where the adoption of standardized search protocols remains limited, especially in complex outdoor environments. The integration of geophysical, remote sensing, and canine methodologies—rooted in forensic geoarchaeology—provides a replicable framework that enhances both investigative effectiveness and the evidentiary admissibility of findings in court. The protocol illustrated in this study supports the consistent evaluation of large and morphologically complex areas, reduces the risk of interpretive error, and reinforces the transparency and scientific rigor expected in judicial settings. As such, it offers a model for improving forensic search strategies in both national and international contexts, particularly in long-standing or high-profile missing persons cases. Full article

Background/Objectives: Traumatic brain injury is one of the leading causes of death and disability. When traumatic brain injury is repeated over time, it can lead to the development of Chronic Traumatic Encephalopathy, a chronic neurodegenerative disease commonly observed in individuals who engage in contact sports or military personnel involved in activities with a high risk of repeated head trauma. At autopsy, the examination of the brain reveals regional atrophy, corresponding to high concentrations of glutamate receptors. Microscopically, the primary findings are the deposition of neurofibrillary tangles and neuropil threads. The aim of this study is to highlight the clinical and histopathological characteristics of Chronic Traumatic Encephalopathy, providing diagnostic support to forensic pathologists. Additionally, it seeks to aid in the differential diagnosis of similar conditions. Methods: A review of literature was conducted following the PRISMA criteria. Of 274 articles, 7 were selected. Results: According to these papers, most patients were male and exhibited neurological symptoms and neuropsychiatric impairments, and a proportion of them committed suicide or had aggressive behavior. Conclusions: Chronic Traumatic Encephalopathy remains largely underdiagnosed during life. The definitive diagnosis of Chronic Traumatic Encephalopathy is established post-mortem through the identification of pathognomonic tauopathy lesions. Early and accurate antemortem recognition, particularly in at-risk individuals, is highly valuable for its differentiation from other neurodegenerative conditions, thereby enabling appropriate clinical management and potential interventions. Full article

Although cranial growth has been extensively explored, forensic and biological anthropology lack a formal incorporation of how cranial growth processes impact the adult phenotype and downstream biological profile estimations. Objectives: This research uses an ontogenetic framework to identify when interlandmark distances (ILDs) stabilize during growth to reach adult levels of variation and to evaluate patterns of cranial sexual size dimorphism. Methods: Multivariate adaptive regression splines (MARS) were conducted on standardized cranial ILDs for 595 individuals from the Subadult Virtual Anthropology Database (SVAD) and the Forensic Data Bank (FDB) aged between birth and 25 years. Cross-Validated R-squared (CVRSq) values evaluated ILD variation explained by age while knot placements identified meaningful changes in ILD growth trajectories. Results: Results reveal the ages at which males and females reach craniometric maturity across splanchnocranium, neurocranium, basicranium and cross-regional ILDs. Changes in growth patterns observed here largely align with growth milestones of integrated soft tissue and skeletal structures as well as developmental milestones like puberty. Conclusions: Our findings highlight the variability in growth by sex and cranial region and move forensic anthropologists towards recognizing cranial growth as a mosaic, continuous process with overlap between subadults and adults rather than consistently approaching subadult and adult research separately. Full article

Background: Anabolic–androgenic steroids (AASs) are commonly used for performance enhancement but have been linked to significant neurobiological consequences. This review explores the impact of AASs on neurochemical pathways, cognitive function, and psychiatric disorders, highlighting their potential neurotoxicity. Methods: A narrative review of current literature was conducted to examine AASs-induced alterations in neurotransmitter systems, structural and functional brain changes, and associated psychiatric conditions. The interplay between AASs use and other substances was also considered. Results: Chronic AASs exposure affects serotonin and dopamine systems, contributing to mood disorders, aggression, and cognitive deficits. Structural and functional changes in the prefrontal cortex and limbic regions suggest long-term neurotoxicity. AASs use is associated with increased risks of depression, anxiety, and psychosis, potentially driven by hormonal dysregulation and neuroinflammation. Co-occurring substance use exacerbates neurocognitive impairments and behavioral disturbances. Discussion: While evidence supports the link between AASs use and neurotoxicity, gaps remain in understanding the precise mechanisms and long-term effects. Identifying biomarkers of brain damage and developing targeted interventions are crucial for mitigating risks. Increased awareness among medical professionals and policymakers is essential to address AASs-related neuropsychiatric consequences. Conclusions: AASs abuse poses significant risks to brain health, necessitating further research and prevention efforts. Evidence-based strategies are needed to educate the public, enhance early detection, and develop effective interventions to reduce the neuropsychiatric burden of AASs use. Full article

Background/Objectives: Artificial intelligence (AI) is beginning to be applied in wound ballistics, showing preliminary potential to improve the accuracy and objectivity of forensic analyses. This review explores the current state of AI applications in forensic firearm wound analysis, emphasizing its potential to address challenges such as subjective interpretations and data heterogeneity. Methods: A systematic review adhering to PRISMA guidelines was conducted using databases such as Scopus and Web of Science. Keywords focused on AI and GSW classification identified 502 studies, narrowed down to 4 relevant articles after rigorous screening based on inclusion and exclusion criteria. Results: These studies examined the role of deep learning (DL) models in classifying GSWs by type, shooting distance, and entry or exit characteristics. The key findings demonstrated that DL models like TinyResNet, ResNet152, and ConvNext Tiny achieved accuracy ranging from 87.99% to 98%. Models were effective in tasks such as classifying GSWs and estimating shooting distances. However, most studies were exploratory in nature, with small sample sizes and, in some cases, reliance on animal models, which limits generalizability to real-world forensic scenarios. Conclusions: Comparisons with other forensic AI applications revealed that large, diverse datasets significantly enhance model performance. Transparent and interpretable AI systems utilizing techniques are essential for judicial acceptance and ethical compliance. Despite the encouraging results, the field remains in an early stage of development. Limitations highlight the need for standardized protocols, cross-institutional collaboration, and the integration of multimodal data for robust forensic AI systems. Future research should focus on overcoming current data and validation constraints, ensuring the ethical use of human forensic data, and developing AI tools that are scientifically sound and legally defensible. Full article

In forensic sciences, particularly in forensic anthropology and podiatry, assessing a person’s stature helps create a biological profile that allows for more accurate identification. Background/Objectives: When considering dynamic footprints as part of the gait pattern, certain parameters such as stride length, step length, gait width, and gait angle can be evaluated in relation to stature. The aim of this study was to assess footstep and stride length from the gait of dynamic footprints and determine if they correlate with stature and could be useful for biological profiling. Methods: Gait patterns from dynamic footprints and stature were determined in 114 females and 104 males aged 18 to 33 years. Results: All participants took the first step with their preferred foot, 56% with the right foot. Regarding step sequence, there were non-significant differences between the 4th and 5th footsteps in both sexes. Sex differences were significant in four of seven footsteps. Only a few steps significantly correlated in sequence with stature, and even these had low correlation coefficients (r = 0.295). In females, positive values of mean differences between actual and estimated stature predictions indicate that the equations tend to overestimate, whereas in a mixed sex group, most negative values of mean differences indicate underestimation. Conclusions: Given the weak correlations observed, footstep and stride length should not be considered reliable indicators for forensic stature estimation. These parameters are more suitable for biomechanical and anthropological research, while forensic applications should be considered supplementary and interpreted with caution. Full article

Background/Objectives: Over the past few decades, controlled substance abuse in drug-facilitated sexual assaults (DFSAs) has significantly increased worldwide, leading to an urgency to develop rapid and selective drug detection methods for field use (i.e., on-spot detection). Currently, techniques for detecting DFSA drug-associated samples are laborious and require skilled personnel to analyze/interpret the results. Moreover, most DFSA-associated drugs have a short half-life, making them more challenging to detect promptly. For instance, the timely detection of gamma-hydroxybutyrate (GHB) has been of ultimate concern for decades due to its fast elimination from the body. This study describes the development of a fluorescent ionic liquid nanosensor that can be used to rapidly detect GHB in the field. Methods: Trihexyltetradecylphosphonium fluorescein (THP₂FL) ionic liquid was synthesized and evaluated for its potential application in detecting GHB. THP₂FL nanoparticles in deionized water were synthesized with a size of 199 nm by a reprecipitation method. Results: The addition of GHB to THP₂FL nanoparticles resulted in up to a 60% increase in fluorescence intensity and a 79% increase in absorbance. These results suggest potential applications for using the fluorescent THP₂FL nanoparticles to detect GHB. The sensor’s selectivity was tested on compounds structurally similar to GHB, and the results showed that 1,4-butanediol (a precursor of GHB) is a potentially interfering species. Conclusion: This fluorescent technique allows for field deployable sensors, which would benefit screening GHB onsite. Full article